Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...

Abstract: Coverless image steganography conceals information without modifying the carrier image, addressing vulnerabilities in traditional methods. However, existing approaches often require ...